Minimax problems in mathematical programming

Results 121 to 130 of about 436 (146)

Generative artificial intelligence: a historical perspective. [PDF]

Natl Sci Rev
He R, Cao J, Tan T.
europepmc +1 more source

Stochastic portfolio optimization: A regret-based approach on volatility risk measures: An empirical evidence from The New York stock market. [PDF]

PLoS One
Larni-Fooeik A, Sadjadi SJ, Mohammadi E.
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An approach to robust minimax receding horizon control problems (Mathematical Programming in the 21st Century : Optimization Modeling and Algorithms)

An approach to robust minimax receding horizon control problems (Mathematical Programming in the 21st Century : Optimization Modeling and Algorithms)
openaire

From PINNs to PIKANs: recent advances in physics-informed machine learning. [PDF]

Mach Learn Comput Sci Eng
Toscano JD +6 more
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Fast Interpretable Greedy-Tree Sums. [PDF]

Proc Natl Acad Sci U S A
Tan YS +8 more
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Research on the automation of intelligent accounting information processing process driven by neural networks. [PDF]

Sci Rep
Cai M.
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General existence theorem of zero points. [PDF]

Yang, Z. +3 more
core +1 more source

Some of the next articles are maybe not open access.

Necessary optimality conditions for minimax programming problems with mathematical constraints

Optimization, 2017
In this paper, necessary optimality conditions in terms of upper and/or lower subdifferentials of both cost and constraint functions are derived for minimax optimization problems with inequality, equality and geometric constraints in the setting of non-differentiatiable and non-Lipschitz functions in Asplund spaces.
Truong, Bao Q, Khahn, P., Gupta, P.
openaire +3 more sources

A Shuffle-Based Artificial Bee Colony Algorithm for Solving Integer Programming and Minimax Problems

Mathematics, 2021
Ivona Brajevic
exaly